{"id":"https://openalex.org/W4408183588","doi":"https://doi.org/10.1109/isscc49661.2025.10904610","title":"15.3 A 65nm Uncertainty-Quantifiable Ventricular Arrhythmia Detection Engine with $\\mathbf{1.75}\\boldsymbol{\\mu}\\mathbf{J}$ Per Inference","display_name":"15.3 A 65nm Uncertainty-Quantifiable Ventricular Arrhythmia Detection Engine with $\\mathbf{1.75}\\boldsymbol{\\mu}\\mathbf{J}$ Per Inference","publication_year":2025,"publication_date":"2025-02-16","ids":{"openalex":"https://openalex.org/W4408183588","doi":"https://doi.org/10.1109/isscc49661.2025.10904610"},"language":"en","primary_location":{"id":"doi:10.1109/isscc49661.2025.10904610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscc49661.2025.10904610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Solid-State Circuits Conference (ISSCC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001894797","display_name":"Jianbo Liu","orcid":"https://orcid.org/0000-0003-4768-7797"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianbo Liu","raw_affiliation_strings":["University of Notre Dame,Notre Dame,IN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame,Notre Dame,IN","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036356492","display_name":"Zephan M. Enciso","orcid":"https://orcid.org/0009-0007-6903-5331"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zephan Enciso","raw_affiliation_strings":["University of Notre Dame,Notre Dame,IN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame,Notre Dame,IN","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050665191","display_name":"Boyang Cheng","orcid":"https://orcid.org/0000-0003-1003-4960"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Boyang Cheng","raw_affiliation_strings":["University of Notre Dame,Notre Dame,IN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame,Notre Dame,IN","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042407218","display_name":"Likai Pei","orcid":null},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Likai Pei","raw_affiliation_strings":["University of Notre Dame,Notre Dame,IN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame,Notre Dame,IN","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075348477","display_name":"Steven Davis","orcid":"https://orcid.org/0000-0001-8319-3175"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven Davis","raw_affiliation_strings":["University of Notre Dame,Notre Dame,IN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame,Notre Dame,IN","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003514711","display_name":"Yifan Qin","orcid":"https://orcid.org/0000-0002-0092-7872"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifan Qin","raw_affiliation_strings":["University of Notre Dame,Notre Dame,IN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame,Notre Dame,IN","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027997476","display_name":"Zhenge Jia","orcid":"https://orcid.org/0000-0002-0554-3608"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenge Jia","raw_affiliation_strings":["University of Notre Dame,Notre Dame,IN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame,Notre Dame,IN","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600905","display_name":"Xiaobo Sharon Hu","orcid":"https://orcid.org/0000-0002-6636-9738"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaobo Sharon Hu","raw_affiliation_strings":["University of Notre Dame,Notre Dame,IN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame,Notre Dame,IN","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000141831","display_name":"Yiyu Shi","orcid":"https://orcid.org/0000-0002-6788-9823"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiyu Shi","raw_affiliation_strings":["University of Notre Dame,Notre Dame,IN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame,Notre Dame,IN","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031804347","display_name":"Ningyuan Cao","orcid":"https://orcid.org/0000-0002-5323-1051"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ningyuan Cao","raw_affiliation_strings":["University of Notre Dame,Notre Dame,IN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame,Notre Dame,IN","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I107639228"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9621999859809875,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9621999859809875,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.9222999811172485,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5414505004882812},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.4771527647972107},{"id":"https://openalex.org/keywords/inference-engine","display_name":"Inference engine","score":0.47415632009506226},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.4013504683971405},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3789285123348236},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37080174684524536},{"id":"https://openalex.org/keywords/mathematical-physics","display_name":"Mathematical physics","score":0.34233981370925903},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.33386921882629395},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.31631338596343994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2871686816215515}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5414505004882812},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.4771527647972107},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.47415632009506226},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.4013504683971405},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3789285123348236},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37080174684524536},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.34233981370925903},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.33386921882629395},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31631338596343994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2871686816215515}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isscc49661.2025.10904610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscc49661.2025.10904610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Solid-State Circuits Conference (ISSCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2902644322","https://openalex.org/W2907893436","https://openalex.org/W3190106860","https://openalex.org/W4207026815","https://openalex.org/W4226337850","https://openalex.org/W4377820152","https://openalex.org/W4380763502","https://openalex.org/W4386262641","https://openalex.org/W4387546301"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2057057690","https://openalex.org/W2368184788","https://openalex.org/W2358964818","https://openalex.org/W2359535128","https://openalex.org/W2381332051","https://openalex.org/W2321443665","https://openalex.org/W2375699995","https://openalex.org/W2043719711","https://openalex.org/W2364072231"],"abstract_inverted_index":{"Detecting":[0],"Ventricular":[1],"Arrhythmia":[2],"(VA)":[3],"is":[4,119,150,159],"critical":[5,78],"for":[6,104,161,180],"preventing":[7],"Sudden":[8],"Cardiac":[9],"Death":[10],"(SCD)":[11],"by":[12,44,97,153],"identifying":[13],"life-threatening":[14],"heart":[15],"rhythms,":[16],"such":[17,108],"as":[18,109],"ventricular":[19,23],"tachycardia":[20],"(VT)":[21],"and":[22,27,50,81,132,192,200,212],"fibrillation":[24],"(VF)":[25],"[1],":[26],"enabling":[28],"timely":[29],"intervention":[30],"via":[31],"implantable":[32],"cardioverter":[33],"defibrillators":[34],"(ICD).":[35],"Although":[36],"deep-learning":[37],"(DL)":[38],"methods":[39],"have":[40],"improved":[41],"VA":[42,181,202],"detection":[43],"reducing":[45],"Inappropriate":[46],"Shock":[47],"Rates":[48],"(ISR)":[49],"minimizing":[51],"manual":[52],"parameter":[53],"tuning":[54],"compared":[55],"to":[56],"traditional":[57],"rule-based":[58,114],"systems":[59],"[2],":[60],"they":[61],"suffer":[62],"from":[63,110],"a":[64,172],"lack":[65],"of":[66,140],"transparency,":[67],"particularly":[68],"in":[69,77,85,136],"uncertainty":[70],"quantification":[71],"(UQ),":[72],"which":[73,158,183],"limits":[74],"their":[75],"reliability":[76],"medical":[79,111],"decisions":[80],"impedes":[82],"widespread":[83],"adoption":[84],"trustworthy":[86],"smart":[87],"health":[88],"applications.":[89],"Bayesian":[90,174],"neural":[91,142],"networks":[92,143],"(BNNs)":[93],"address":[94,166],"this":[95,169],"issue":[96],"providing":[98],"UQ":[99],"through":[100],"model":[101],"sampling,":[102],"allowing":[103],"robust":[105],"diagnostic":[106],"interventions,":[107],"experts":[112],"or":[113],"systems,":[115],"when":[116],"inference":[117],"confidence":[118],"low":[120],"(Figure":[121,145],"15.3.1).":[122,146],"However,":[123],"BNNs":[124],"require":[125],"extensive":[126],"Gaussian":[127],"random":[128],"number":[129],"generation":[130],"(GRNG)":[131],"memory":[133],"access,":[134],"resulting":[135],">6x":[137],"energy":[138,148],"consumption":[139],"regular":[141],"(NN)":[144],"This":[147],"demand":[149],"further":[151],"exacerbated":[152],"multiple":[154],"sampling":[155],"iterations":[156],"(T),":[157],"impractical":[160],"battery":[162],"powered":[163],"ICDs.":[164],"To":[165],"these":[167],"challenges,":[168],"work":[170],"presents":[171],"65nm":[173],"Convolutional":[175],"Neural":[176],"Network":[177],"(Bayes-CNN)":[178],"accelerator":[179],"detection,":[182,203],"enables":[184],"fully":[185],"parallel":[186],"analog":[187],"GRNG,":[188],"in-memory":[189],"vector-matrix":[190],"operations,":[191],"partial":[193],"sampling.":[194],"The":[195],"proposed":[196],"design":[197],"facilitates":[198],"low-power":[199],"UQ-enabled":[201],"ensuring":[204],"reliable":[205],"performance":[206],"under":[207],"out-of-distribution":[208],"data,":[209],"hardware":[210],"imperfections":[211],"temperature":[213],"variations.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
